Compression ratio prediction for DCT-based coder
作者： R. Kozhemiakin , S. Abramov , V. Lukin , Blaao Djurovic , Igor Djurovic
DOI: 10.1109/MSMW.2016.7538143
关键词:
摘要: The paper deals with considering a problem typical for lossy compression of remote sensing images. While compressing an image under interest by DCT-based coders which are rather efficient it is desirable to predict what CR will be attained given quantization step. We show that such prediction possible and can done easily, quickly, quite accurately. Moreover, practically noise-free images corrupted unknown type noise characteristics. Influence properties briefly studied.
sci-hub.se 参考文章(14)
Emmanuel Christophe, Hyperspectral Data Compression Tradeoff Springer, Berlin, Heidelberg. pp. 9- 29 ,(2011) , 10.1007/978-3-642-14212-3_2
Nikolay Ponomarenko, Vladimir Lukin, Karen Egiazarian, Jaakko Astola, DCT Based High Quality Image Compression Image Analysis. pp. 1177- 1185 ,(2005) , 10.1007/11499145_119
Ruslan Kozhemiakin, Sergey Abramov, Vladimir Lukin, Igor Djurovic, Benoit Vozel, Peculiarities of 3D compression of noisy multichannel images 2015 4th Mediterranean Conference on Embedded Computing (MECO). pp. 331- 334 ,(2015) , 10.1109/MECO.2015.7181936
Arto Kaarna, G Ohinata, A Dutta, Compression of Spectral Images InTech. ,(2007) , 10.5772/4964
Robert A. Schowengerdt, Remote sensing, models, and methods for image processing ,(1997)
A. Colin Cameron, Frank A.G. Windmeijer, An R-squared measure of goodness of fit for some common nonlinear regression models Journal of Econometrics. ,vol. 77, pp. 329- 342 ,(1997) , 10.1016/S0304-4076(96)01818-0
Yuri S. Bekhtin, Adaptive wavelet codec for noisy image compression east-west design and test symposium. pp. 184- 188 ,(2011) , 10.1109/EWDTS.2011.6116587
J. Rissanen, Paper: Modeling by shortest data description Automatica. ,vol. 14, pp. 465- 471 ,(1978) , 10.1016/0005-1098(78)90005-5
Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoit Vozel, Kacem Chehdi, Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters Journal of Applied Remote Sensing. ,vol. 9, pp. 095066- 095066 ,(2015) , 10.1117/1.JRS.9.095066
O.K. Al-Shaykh, R.M. Mersereau, Lossy compression of noisy images IEEE Transactions on Image Processing. ,vol. 7, pp. 1641- 1652 ,(1998) , 10.1109/83.730376